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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Cryptography for Explainable AI: Bridging the Gap between Security and Interpretability |
| Authors Name: | Sreeshna U , Ms.Sreeji k b |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216294
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| Published Paper Id: | IJNRD2403495 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | In the field of artificial intelligence (AI), explainability has become a major concern, especially in application were decisions impact individuals or society. Cryptography, with its ability to secure and protect information, offers promising avenues for improving the explainability of AI systems. This article explores the intersection of cryptography and explainable AI, providing an overview of cryptographic techniques and their applications to improve interpretability, transparency, and reliability of AI models. We discuss how cryptographic principles such as homomorphic encryption, secure multi-party computation, and zero-knowledge proofs can be leveraged to enable transparent and transparent AI decision-making processes verifiable while ensuring data privacy. Additionally, we consider the challenges, opportunities, and future directions for integrating cryptocurrency into explainable AI frameworks, highlighting the potential to advance both fields in a coordinated manner to promote greater trust and understanding of AI systems. |
| Keywords: | Differential Privacy, Explainable AI, Homomorphic Encryption(HE), Secure Multi-Party Computation, Zero-Knowledge Proofs(ZKPs) |
| Cite Article: | "Cryptography for Explainable AI: Bridging the Gap between Security and Interpretability", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.e791-e795, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403495.pdf |
| Downloads: | 00037 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403495 Registration ID: 216294 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: e791-e795 Country: Thrissur, Kerala, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403495 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403495 |
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ISSN: 2456-4184
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